Director of Machine Learning Research
Job Summary
Job Description
- Deep expertise in modern ML techniques
- PhD in Computer Science or related field
- 8+ years of experience in ML/AI
- 4+ years in a leadership role
- Proven track record of impactful research
- Strong knowledge of cloud platforms and MLOps tools
- Strong leadership and communication skills
- Experience with synthetic dataset generation
- Experience with quantization
- Publications, patents, or open-source contributions
- Comprehensive health plans
- Leading well-being programs
- Financial protection for you and your family
- Daily meditation breaks
- Virtual fitness
- Access to Headspace
- Continuous learning opportunities with LinkedIn Learning
11 skills required
Job Details
Job Description
Responsibilities
Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation.
Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc.
Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.).
Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability.
Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence.
Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape.
Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels.
Qualifications
Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization.
PhD in Computer Science, Machine Learning, or a related field.
8+ years of experience in ML/AI, including 4+ years in a leadership role.
Proven track record of impactful research contributions, including publications, patents, or open-source work.
Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc.
Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration.
Ability to align research investments with business strategy and measurable outcomes.
Why You'll Love Sprinklr:
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.
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